[IPOL announce] new article: Experiments on Deep Single-Image Portrait Relighting

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2022/429/

Quentin Bammey,
Experiments on Deep Single-Image Portrait Relighting,
Image Processing On Line, 12 (2022), pp. 420–434.
https://doi.org/10.5201/ipol.2022.429

Abstract
This work describes deep single-image portrait relighting, a method to 
change the lighting of an image. The method is based on an hourglass 
convolutional neural network, which encodes the image and its estimated 
original lighting features, then replaces the lighting features with the 
target light. We highlight the overall good results produced by this 
method, as well as its limitations and the lighting artifacts that 
sometimes appear on relighted images.